Improved REBA: deep learning based rapid entire body risk assessment for prevention of musculoskeletal disorders.

IF 2 3区工程技术 Q3 ENGINEERING, INDUSTRIAL

Ergonomics Pub Date : 2024-10-01 Epub Date: 2024-02-29 DOI:10.1080/00140139.2024.2306315

Zeyu Jiao, Kai Huang, Qun Wang, Guozhu Jia, Zhenyu Zhong, Yingjie Cai

引用次数: 0

Abstract

Preventing work-related musculoskeletal disorders (WMSDs) is crucial in reducing their impact on individuals and society. However, the existing mainstream 2D image-based approach is insufficient in capturing the complex 3D movements and postures involved in many occupational tasks. To address this, an improved deep learning-based rapid entire body assessment (REBA) method has been proposed. The method takes working videos as input and automatically outputs the corresponding REBA score through 3D pose reconstruction. The proposed method achieves an average precision of 94.7% on real-world data, which is comparable to that of ergonomic experts. Furthermore, the method has the potential to be applied across a wide range of industries as it has demonstrated good generalisation in multiple scenarios. The proposed method offers a promising solution for automated and accurate risk assessment of WMSDs, with implications for various industries to ensure the safety and well-being of workers.

查看原文本刊更多论文

改进的 REBA：基于深度学习的快速全身风险评估，用于预防肌肉骨骼疾病。

预防与工作相关的肌肉骨骼疾病（WMSDs）对于减少其对个人和社会的影响至关重要。然而，现有的基于二维图像的主流方法不足以捕捉许多职业任务中涉及的复杂三维动作和姿势。为了解决这个问题，我们提出了一种基于深度学习的改进型快速全身评估（REBA）方法。该方法将工作视频作为输入，通过三维姿态重建自动输出相应的 REBA 分数。该方法在真实世界数据上的平均精确度达到 94.7%，与人体工程学专家的精确度相当。此外，由于该方法在多个场景中都表现出了良好的泛化能力，因此有望应用于各行各业。所提出的方法为WMSDs的自动和准确风险评估提供了一个前景广阔的解决方案，对各行各业确保工人的安全和福祉具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Ergonomics 工程技术-工程：工业

CiteScore

4.60

自引率

12.50%

发文量

147

审稿时长

6 months

期刊介绍： Ergonomics, also known as human factors, is the scientific discipline that seeks to understand and improve human interactions with products, equipment, environments and systems. Drawing upon human biology, psychology, engineering and design, Ergonomics aims to develop and apply knowledge and techniques to optimise system performance, whilst protecting the health, safety and well-being of individuals involved. The attention of ergonomics extends across work, leisure and other aspects of our daily lives. The journal Ergonomics is an international refereed publication, with a 60 year tradition of disseminating high quality research. Original submissions, both theoretical and applied, are invited from across the subject, including physical, cognitive, organisational and environmental ergonomics. Papers reporting the findings of research from cognate disciplines are also welcome, where these contribute to understanding equipment, tasks, jobs, systems and environments and the corresponding needs, abilities and limitations of people. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.